Topological feature engineering for machine learning based halide perovskite materials design

• المؤلفون الرئيسيون: Anand, D. Vijay, Xu, Qiang, Wee, Junjie, Xia, Kelin, Sum, Tze Chien
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Physics; Feature Engineering; Halide Perovskites
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/165413

Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges. Data-driven ML is envisaged as a decisive enabler for new perovskite materials discovery. Howeve...